youmi-zym

youmi-zym's Stars

• lllyasviel/ControlNet

  Let us control diffusion models!

  Language:Python31k2205572.8k

• facebookresearch/segment-anything-2

  The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook11.1k64259944

• LiheYoung/Depth-Anything

  [CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

  Language:Python7.2k50216546

• Stability-AI/StableCascade

  Official Code for Stable Cascade

  Language:Jupyter Notebook6.6k60124533

• MrNeRF/awesome-3D-gaussian-splatting

  Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.

  Language:Python6.5k26858389

• naver/dust3r

  DUSt3R: Geometric 3D Vision Made Easy

  Language:Python5.6k54170603

• DepthAnything/Depth-Anything-V2

  [NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

  Language:Python4.2k35210365

• prs-eth/Marigold

  [CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation

  Language:Python2.5k42110140

• hbb1/2d-gaussian-splatting

  [SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields

  Language:Python2.2k31177154

• colmap/glomap

  GLOMAP - Global Structured-from-Motion Revisited

  Language:C++1.6k26103112

• muskie82/MonoGS

  [CVPR'24 Highlight & Best Demo Award] Gaussian Splatting SLAM

  Language:Python1.5k20164139

• autonomousvision/mip-splatting

  [CVPR'24 Best Student Paper] Mip-Splatting: Alias-free 3D Gaussian Splatting

  Language:Python1.1k226077

• dcharatan/flowmap

  [3DV 2025] Code for "FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent" by Cameron Smith*, David Charatan*, Ayush Tewari, and Vincent Sitzmann

  Language:Python908244989

• nerfstudio-project/viser

  Web-based 3D visualization + Python

  Language:Python9022913253

• autonomousvision/gaussian-opacity-fields

  [SIGGRAPH Asia'24 & TOG] Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes

  Language:Python806299146

• fuxiao0719/GeoWizard

  [ECCV'24] GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image

  Language:Python790244134

• TQTQliu/MVSGaussian

  [ECCV 2024] MVSGaussian: Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stereo

  Language:Python442227823

• hugoycj/Instant-angelo

  Instant-angelo: Build high-fidelity Digital Twin within 20 Minutes!

  Language:Python432173229

• DL3DV-10K/Dataset

  News: the 10k dataset is ready for download.

  Language:HTML35613355

• fabiotosi92/Awesome-Deep-Stereo-Matching

  A curated list of awesome Deep Stereo Matching resources

  Language:TeX26911011

• city-super/MatrixCity

  Language:Python232104711

• jhaoshao/ChronoDepth

  ChronoDepth: Learning Temporally Consistent Video Depth from Video Diffusion Priors

  Language:Python19823106

• yanivw12/gs2mesh

  [ECCV 2024] Official implementation of the paper "GS2Mesh: Surface Reconstruction from Gaussian Splatting via Novel Stereo Views"

  Language:Python18571910

• zeshunzong/warp-mpm

  mpm solver implemented in WARP

  Language:Python154557

• princeton-vl/MultiSlam_DiffPose

  Language:Jupyter Notebook103654

• zhangganlin/GlORIE-SLAM

  GlORIE-SLAM: Globally Optimized RGB-only Implicit Encoding Point Cloud SLAM

  Language:Python949115

• fabiotosi92/Diffusion4RobustDepth

  [ECCV 2024] Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions

  741920

• bartn8/vppdc

  [3DV 2024] Revisiting Depth Completion from a Stereo Matching Perspective for Cross-domain Generalization

  Language:Python26200

• bartn8/eventvppstereo

  [ECCV 2024] LiDAR-Event Stereo Fusion with Hallucinations

  Language:Python16300

• mattpoggi/fedstereo

  Source code for "Federated Online Adaptation for Deep Stereo", CVPR 2024

  Language:Python16300